TY  - CONF
A1  - Meissner, Jan
A1  - Schuh, Günther
A2  - Callaos, Nagib
T1  - Adaptive Deviation Management in Production Control
T2  - Proceedings of the 8th International Multi-Conference on Complexity, Informatics and Cybernetics
N2  - The topics Internet of Things and Industry 4.0 increasingly lead to the fact that the customer is increasingly focused on manufacturing companies. He wants to know delivery date of the product, wants to make changes at short notice, get an individualized product and much more. Technologically, these requirements have already been met, but the structures within the company as well as the operational processes are not yet or only partially prepared to cope with the increasing complexity and dynamics of production. This leads to many deviations with which the production controller must deal, whether they are complex or trivial.
In order to counteract the increasing number and frequency of deviation situations which are currently encountered with complex manual interventions, it is necessary to systematically evaluate deviations and then to allocate them a dominant reaction strategy (manual, partially automated, automated) from which a suitable reaction measure can be derived. This relieves the production controller, since assistance systems partially eliminate deviations independently.
As a result, the production controller gets more time to deal with the cause of deviations so that a new occurrence of deviations can be avoided and the number of deviations can be reduced sustainably. The following paper provides a solution for the assessment of deviations. In addition, it includes differentiation logic to allocate one of the three different reaction strategies to the identified deviation.
KW  - deviation management
KW  - Industrie 4.0
KW  - production control
KW  - VSM
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/2657
SP  - 101
EP  - 104
PB  - IIIS
CY  - Winter Garden (FL)
ER  -